GovCIO - Raleigh, NC
posted about 2 months ago
GovCIO is currently hiring for an ETL Engineer (or Data Scientist) to join our ETL Team focused on ingesting and visualizing data from all over the cloud and alerting on deviations of normalization. This position will be located in Hanover, MD, and will be a fully remote position. The role involves developing, inspecting, mining, transforming, and analyzing data to create descriptive and predictive models that impact productivity and decision-making, providing strategic mission impact. The ETL Engineer will apply data wrangling tools including ETL, ELT, and programming languages to collect and blend data from operational and relevant external systems. The position requires applying data mining, machine learning, and statistical analysis on data to create predictive and descriptive models. The candidate will also be responsible for developing segmentation, clustering, forecasting, classification, and other models, as well as maintaining and integrating analytical systems with operational systems, verifying the accuracy of the data and analytics. In this role, the engineer will generate new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets. The position requires collecting and transforming structured, unstructured, relational, and NoSQL data using ETL and ELT tools, as well as developing custom code using programming languages. The candidate should understand and use distributed methods that scale to multi-Terabyte sized data collections. The ETL Engineer will analyze data using data mining, machine learning, and statistical algorithms available in COTS tools, and build analytical solutions using programming languages and libraries. The role also involves interpreting and evaluating the accuracy of results through iterative, agile methods and applying data discovery and visualization tools to develop compelling, actionable data stories. The engineer will work closely with data SMEs, business, and management to prioritize business and information needs.